Dear colleagues:
Interested in cutting-edge methods and data for researching innovation, technology, strategy, and knowledge management? Join us at the AOM 2015 for two complementary PDWs:
(1) Advances in Patent Research: Friday, 8:30-10:30am, Conv. Ctr. 214
(2) Seven New Datasets – Innovation: Saturday, 1:00-3:30pm, Conv. Ctr. 214
The first – the 'annual' Patent Data PDW – happens Friday August 7th 8:30-10:30AM. This PDW provides a broad overview of using patent data for many areas of management research, focusing on both the core and the frontier of methods and research in this important area. The second PDW – introducing new open datasets – happens on Saturday August 8th 1:00-3:30PM. This PDW introduces seven new open-access technology & innovation datasets, derived from previously unavailable information on trademarks and patents, technology standards, and standard setting organizations. Attendees will be given a "first look" at how to access and use these rich sources in their research. So, if you are interested in learning what's happening at the frontier of research into the management and strategy of innovation, join us! Best,
Deepak Hegde Tony Tong Stu Graham
NYU – Stern U. Colorado Georgia Tech
Advances in Patent Research: New Data, Measures, and Methods
Program Session: 52 | Submission: 15294 | Sponsor(s): (TIM, BPS, RM)
Scheduled: Friday, Aug 7 2015 8:30AM - 10:30AM at Vancouver Convention Centre in Room 214
Organizer: Deepak Hegde, New York U.
Contact Organizer: Tony W. Tong, U. of Colorado
Contact Presenter: Ashish Arora, Duke U.
Contact Presenter: Alan Marco, United States Patent and Trademark Office
Contact Presenter: Kenneth Younge, Purdue U.
Contact Presenter: Jeffrey Kuhn, U. of California, Berkeley
Contact Presenter: Stefan Wagner, ESMT European School of Management and Technology
Contact Presenter: Kenneth G. Huang, Singapore Management U.
This professional development workshop (PDW) focuses on the empirical analysis of patent data, emphasizing both the use of patents as measures of knowledge, innovation, and firm performance, as well as firm patenting and intellectual property as areas of research in their own right. The primary goals of this PDW are twofold. First, it will provide an introduction of the fundamentals of empirical patent research for scholars new to the field, including a discussion of the critical issues, data sources, and methods for effectively analyzing patent data. Second, it will provide in-depth coverage of the latest developments in patent research, including newly available patent data, stat-of-the-art analytical tools, and latest research findings from these data from the U.S., Europe, and China. The panelists will engage in interactive discussions with the audience to address the current state of patent research and future directions for research.
Search Terms: patent | innovation | technology management
Introducing Seven Open Datasets for Doing Innovation Research
Program Session: 388 | Submission: 18906 | Sponsor(s): (TIM, BPS, RM, ENT)
Scheduled: Saturday, Aug 8 2015 1:00PM - 3:30PM at Vancouver Convention Centre in Room 214
Organizer: Stuart Graham, Georgia Institute of Technology
Participant: Stuart Graham, Georgia Institute of Technology
Participant: Lee Fleming, U. of California, Berkeley
Participant: Justus Baron, Northwestern U. School of Law
Participant: Javier Miranda, U.S. Census Bureau
Participant: Alan Marco, United States Patent and Trademark Office
Participant: Amanda Myers, United States Patent and Trademark Office
Participant: Richard Miller, United States Patent and Trademark Office
Participant: Tim Pohlmann, Technical U. Berlin
This professional development workshop (PDW) focuses on describing and facilitating audience interaction with a set of seven new (7) open-access datasets built to provide vehicles to conduct management research on strategy, technology, and innovation. The PDW puts a premium on audience interaction: Each speaker will briefly introduce and discuss open access to a dataset, offering lessons for using and interpreting the data. The PDW will reserve maximum time for interactive panel discussions with the audience to address the current state of research and future directions for study, facilitated by the participating leading experts in technology and innovation research. Datasets include: (1) UC Berkeley-Fung Center Database on disambiguated US patents data (Fleming) (2) US Census Bureau Dataset: Improved patent-to-firm matching using the Census Business Register (Miranda) (3) USPTO Patent Assignment Dataset covering 6 million patent transactions 1970-2014 (Marco) (4) USPTO Public PAIR Dataset covering the entire coded transaction history between applicants and examiners on over 10 million applications (granted and not granted) 2000- 2014 (Miller); (5) USPTO Trademark Assignment Dataset covering almost 800,000 trademark assignments and securitizations 1952-2013 (Myers); (6) Searle Center Database on Technology Standards and Standard Setting Organizations (Baron); and (7) Searle Center/IP Lytics Concordance Data between patent classifications (CPC) and standards (ICS) (Pohlmann). The datasets are the subject of articles (available as working papers) submitted for inclusion in a forthcoming special issue of JEMS (Journal of Economics and Management Strategy).
Search Terms: Empirical | Patent | Standards
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